Development of iterative learning control strategy for active power filter

The paper introduces iterative learning control strategy to active power filter (APF). The control strategy can incorporate feedback and feedforward into the controller of APF and it can enhance the tracking speed, simplify the configuration of the controller and obtain a fast and simple algorithm. The strategy with good robustness can realize self-optimizing and self-stabilizing of the system. It is suitable for the hybrid passive filter and APF The simulation and experiment results are given in the paper.